Triple

T11756927
Position Surface form Disambiguated ID Type / Status
Subject Burmese–Siamese wars E279549 entity
Predicate involvedRegion P285 FINISHED
Object Lanna E673882 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lanna | Statement: [Burmese–Siamese wars, involvedRegion, Lanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanna
Context triple: [Burmese–Siamese wars, involvedRegion, Lanna]
  • A. Lanna chosen
    Lanna was a former kingdom and cultural region in what is now northern Thailand, known for its distinct language, art, and Buddhist traditions.
  • B. Nong Yai
    Nong Yai is a district-level locality in Thailand known for its rural communities and agricultural landscape within Chonburi Province.
  • C. Suphan Buri
    Suphan Buri is a province in central Thailand known for its rich history, traditional culture, and agricultural landscapes.
  • D. Chiang Rai
    Chiang Rai is a culturally rich city in far northern Thailand, known for its temples, hill-tribe communities, and role as a gateway to the Golden Triangle region.
  • E. Chiang Mai
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.